State Estimation in Low-Observable Distribution Systems Using Matrix Completion: Preprint

Yingchen Zhang, Andrey Bernstein, Rui Yang, Andreas Schmitt

Research output: Contribution to conferencePaper


The need for distribution system state estimation is on the rise because of the increased penetration of distributed energy resources and flexible load. To manage the distribution systems in real time, operators need to first overcome the challenge of low observability in distribution systems. Also, because of the amount of data present from smart meters, distributed generation measurements, switches, etc., the ideal distribution state estimation methods need to be able to process heterogeneous data. In this paper, an algorithm is developed for voltage phasor estimation in low-observability distribution systems. The algorithm is based on the matrix completion approach from signal processing. The traditional matrix completion formulation is augmented with power-flow constraints to improve results while requiring less data. This method can also use all types of measurements (voltage magnitude, voltage angle, real power, reactive power) to complete the state matrix.
Original languageAmerican English
Number of pages10
StatePublished - 2019
EventHawaii International Conference on System Sciences - Maui, Hawaii
Duration: 8 Jan 201911 Jan 2019


ConferenceHawaii International Conference on System Sciences
CityMaui, Hawaii

NREL Publication Number

  • NREL/CP-5D00-73540


  • distribution
  • matrix completion
  • state estimation
  • voltage phasor


Dive into the research topics of 'State Estimation in Low-Observable Distribution Systems Using Matrix Completion: Preprint'. Together they form a unique fingerprint.

Cite this